Depth derivation using multispectral WorldView-2 satellite imagery

Ehses, Julia S.; Rooney, John J. B. (John Joseph Bowman)

doi:10.7289/V5668B40

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Depth derivation using multispectral WorldView-2 satellite imagery

2015
By Ehses, Julia S. ; Rooney, John J. B. (John Joseph Bowman)
Series: NOAA technical memorandum NMFS-PIFSC ; 46

[PDF-2.13 MB]

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Personal Author:

Ehses, Julia S. ; Rooney, John J. B. (John Joseph Bowman)

Ehses, Julia S. ; Rooney, John J. B. (John Joseph Bowman) Less -
Corporate Authors:

United States. National Marine Fisheries Service, ; Pacific Islands Fisheries Science Center (U.S.), Coral Reef Ecosystem Division ; United States, National Oceanic and Atmospheric Administration, ; Coral Reef Conservation Program (U.S.)

United States. National Marine Fisheries Service, ; Pacific Islands Fisheries Science Center (U.S.), Coral Reef Ecosystem Division ; United States, National Oceanic and Atmospheric Administration, ; Coral Reef Conservation Program (U.S.) Less -
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; PIFSC (Pacific Islands Fisheries Science Center) ; CoRIS (Coral Reef Information System)

NMFS (National Marine Fisheries Service) ; PIFSC (Pacific Islands Fisheries Science Center) ; CoRIS (Coral Reef Information System) Less -
Description:

Despite recent efforts to collect high-resolution multibeam bathymetry data across the Pacific Islands Region, significant gaps exist in the 0-30 m depth range. Achieving bathymetric coverage in these areas is critical for assessing the health of coral reef ecosystems that reside there. Here we use WorldView-2 multispectral satellite imagery and two depth derivation methods (Lyzenga, 2006; Stumpf et al., 2003) that relate spectral radiance values to ground truth depth information to derive depths for shallow-water regions in the main Hawaiian Islands. Our results show increased accuracy using the Lyzenga (2006) multiple linear regression method when compared to the Stumpf et al. (2003) ratio method. Furthermore, we achieved improved results by eliminating the linearization process from the Lyzenga (2006) method. This improvement may be related to the lack of large seagrass aggregations within the main Hawaiian Islands because the presence of seagrass has been shown to affect the linear relationship between ground truth depth and spectral radiance values (Doxani et al., 2012). The accuracy of our derived depth product is directly related to the quality of the multispectral satellite images, the availability of ground truth data, and water depth with accuracy decreasing substantially in water depths > 20 m. Our results show that in the absence of shallow (0-20 m) high-resolution bathymetric data, satellite-derived depths are an important resource for assessing, monitoring, and managing shallow coral reef ecosystems. [doi:10.7289/V5668B40 (http://dx.doi.org/10.7289/V5668B40)]
Keywords:

[+]

Benthos Coral Reef Ecology Coral Reefs And Islands Corals Deep-sea Ecology Environmental Impact Analysis Environmental Monitoring Instruments Multibeam Mapping Ocean Bottom Oceanographic Instruments Remote Sensing Submarine Topography Underwater Exploration
Series:

NOAA technical memorandum NMFS-PIFSC ; 46
DOI:

http://doi.org/10.7289/V5668B40
Document Type:

Technical Memorandum
Place as Subject:

Hawaii ; Pacific Coast ; Pacific Coast (Hawaii)

Hawaii ; Pacific Coast ; Pacific Coast (Hawaii) Less -
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Public Domain
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Library
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urn:sha256:6c280ad1364003ab116df5bc0b2e0dccf06debea9f1f5523d438363bc72ad7b6
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https://repository.library.noaa.gov/view/noaa/899/noaa_899_DS1.pdf
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Depth derivation using multispectral WorldView-2 satellite imagery

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